Initial commit.
This commit is contained in:
commit
347d3a969d
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169
.gitignore
vendored
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169
.gitignore
vendored
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# Specific to this project
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## This way you can have a config to mess around in the repo but not commit it accidentally with secrets.
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config.json
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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.idea/
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11
cli.py
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11
cli.py
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import json
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import click
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from query_performance_gauge import main
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@click.command()
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@click.option("--config", required=True, type=click.File())
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def measure_performance(config):
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main(json.load(config))
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22
example-config.json
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22
example-config.json
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{
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"connection_details": {
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"engine": "trino",
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"host": "trino.mercadao.pt",
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"port": "443",
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"user": "your user goes here",
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"password": "your password goes here",
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"http_scheme": "https",
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"catalog": "app_lm_mysql",
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"schema": "comprea"
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},
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"queries_to_measure": [
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{
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"name": "Fast Smoke Test",
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"query_string": "SELECT * FROM system.runtime.nodes"
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},
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{
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"name": "Carts on a day",
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"query_string": "select * from app_lm_mysql.comprea.cart c where c.status = 'delivered' and c.date_delivered >= to_unixtime(date('2022-05-24'))"
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}
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]
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}
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93
query_performance_gauge.py
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93
query_performance_gauge.py
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import time
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import traceback
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from typing import Union, Callable
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import trino.dbapi
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from trino.dbapi import connect
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from trino.auth import BasicAuthentication
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import mysql.connector
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def main(config: dict) -> None:
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print("Starting the measuring session.")
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connection = get_connection(config)
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for query_config in config["queries_to_measure"]:
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try:
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query = TestableQuery(
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name=query_config["name"], query_string=query_config["query_string"]
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)
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measure_query_runtime(connection, query)
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except Exception as e:
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print(f"""Something went wrong with query {query_config["name"]}.""")
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print(f"{traceback.format_exc()}")
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print("Finished the measuring session.")
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class TestableQuery:
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def __init__(self, name: str, query_string: str):
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self.name = name
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self.query_string = query_string
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def measure_query_runtime(connection: trino.dbapi.Connection, query: TestableQuery):
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start_time = time.time()
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cur = connection.cursor()
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cur.execute(query.query_string)
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rows = cur.fetchall()
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print(f"Query '{query.name}' took {int(time.time() - start_time)} seconds to run.")
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def get_connection(config: dict) -> Union[trino.dbapi.Connection]:
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connection_builder = pick_connection_builder(config["connection_details"]["engine"])
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connection = connection_builder(config)
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return connection
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def get_possible_connection_builders() -> dict:
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return {
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"trino": get_connection_to_trino,
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"mysql": get_connection_to_mysql,
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}
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def pick_connection_builder(connection_engine_name: str) -> Callable:
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possible_connection_builders = get_possible_connection_builders()
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try:
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connection_builder = possible_connection_builders[connection_engine_name]
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except KeyError:
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raise ValueError(
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f"Connection type {connection_engine_name} is unknown. Please review config."
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)
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return connection_builder
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def get_connection_to_trino(config):
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return connect(
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host=config["connection_details"]["host"],
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port=config["connection_details"]["port"],
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user=config["connection_details"]["user"],
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auth=BasicAuthentication(
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config["connection_details"]["user"],
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config["connection_details"]["password"],
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),
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http_scheme=config["connection_details"]["http_scheme"],
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catalog=config["connection_details"]["catalog"],
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schema=config["connection_details"]["schema"],
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)
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def get_connection_to_mysql(config) -> mysql.connector.connection.MySQLConnection:
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connection = mysql.connector.connect(
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host=config["connection_details"]["host"],
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port=config["connection_details"]["port"],
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user=config["connection_details"]["user"],
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password=config["connection_details"]["password"],
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database=config["connection_details"]["schema"],
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)
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return connection
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39
readme.md
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39
readme.md
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# Query Performance Gauge
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This is a little script to measure the performance of queries against a Trino or MySQL instance. You can use it to run
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several queries and measure how long it takes for results to come back to your local machine.
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## How to use
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1. First, you need to install the package in your Python installation or a virtual environment. If you have our Google
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Drive Shared Drive replicated locally, you can do it like this:
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```
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pip install g:\shared drives\data drive\90 useful\trino_query_performance_gauge
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```
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2. After, you need to make a config file. See below details on how to compose one.
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3. Once you have your config file ready, run the following command from the terminal.
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```commandline
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trino_measure_query_performance --config my_config_file.json
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```
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## Composing a config file
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You can take a look at the `example-config.json` in this repository.
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A few notes:
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- The valid engines are `"trino"` and `"mysql"`.
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- You can place as many queries as you would like in the `queries_to_measure` list.
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- I advice you to make the first query a silly, fast query such as `SELECT 1` to validate your connection and
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quickly confirm that everything is set up properly.
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## A few more details
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- Queries are run sequentially, as in the second query will only start after the first query is finished.
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- For this to work, your local machine must have access and permission to the connection you are targeting, so
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remember to set up VPNs and other necessary configs properly.
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-
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BIN
requirements.txt
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BIN
requirements.txt
Normal file
Binary file not shown.
16
setup.py
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16
setup.py
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from setuptools import setup, find_packages
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setup(
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name="query_performance_gauge",
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packages=find_packages(),
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description="Measure how long queries take.",
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long_description=open("README.md").read(),
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long_description_content_type="text/markdown",
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python_requires=">=3.7",
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entry_points={
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"console_scripts": [
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"measure_query_performance = cli:measure_performance",
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],
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},
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||||
)
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